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Unrolled recurrent layers (RNN, LSTM) #1873
Commits on Jan 25, 2015
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Commits on Jan 29, 2015
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Commits on Jan 30, 2015
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Brief explanation of SLICE layer's attributes
* A sample code was added. * `slice_dim` and `slice_point` attributes were explained.
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Merge pull request BVLC#1817 from boechat107/patch-1
[docs] brief explanation of SLICE layer's attributes
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Commits on Feb 16, 2015
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Correct 'epochs' to 'iterations'
Brandon Amos committedFeb 16, 2015 Configuration menu - View commit details
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Merge pull request BVLC#1879 from bamos/patch-1
Correct 'epochs' to 'iterations'
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Commits on Feb 20, 2015
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Merge pull request BVLC#1849 from BVLC/next
Next: release candidater
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Updated the path for get_ilsvrc_aux.sh to match what is found in the …
…current project
e3 committedFeb 20, 2015 Configuration menu - View commit details
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Merge pull request BVLC#1914 from eerwitt/master
fix Imagenet example path
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[build] fix dynamic linking of tools
set the right rpath for tools and examples respectively thanks for the report @mees!
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Merge pull request BVLC#1921 from shelhamer/fix-tool-linking
[build] fix dynamic linking of tools
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Commits on Feb 21, 2015
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Commits on Feb 22, 2015
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Anatoly Baksheev committed
Feb 22, 2015 Configuration menu - View commit details
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set proper CMAKE_INSTALL_RPATH for _caffe.so and tools
Anatoly Baksheev committedFeb 22, 2015 Configuration menu - View commit details
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fixed bug in install-tree: _caffe.so installed by install(TARGET ...)…
… was overwritten with symlink created at build time and installed with install(DIRECTORY ...)
Anatoly Baksheev committedFeb 22, 2015 Configuration menu - View commit details
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Anatoly Baksheev committed
Feb 22, 2015 Configuration menu - View commit details
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cpp_lint.py fails silently with Python3 (which is the default on some…
… systems). This commit specifies Python2 with which cpp_lint.py works :-)
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Merge pull request BVLC#1939 from Nerei/bugfix/install_rpath_for_pycaffe
[cmake] fix install rpath for pycaffe
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Commits on Feb 24, 2015
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Merge pull request BVLC#1948 from spmallick/patch-1
APPLE was misspelled in Line 27
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Merge pull request BVLC#1941 from jsupancic/cpp_lint_python2
fixes: cpp_lint.py fails silently with Python3
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Merge pull request BVLC#1926 from shelhamer/test-caffe-tool
Check caffe tool runs
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Merge pull request BVLC#1923 from philkr/python3_master
Making python3 work with cmake and the new python wrapper
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Commits on Feb 25, 2015
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Replaced illegal tab in Makefile with spaces.
Commands, such as $(error ...), are not allowed to be indented with tabs outside of targets, throwing an error instead of outputting the actual error. The solution is to use innocuous spaces instead. Ideally, spaces should be used everywhere outside targets, but since make does not mind it if variable assignments are tab-indented outside targets, a complete overhaul is not necessary. However, if more errors are added, it might make more sense to be consistent. Also, make will already add a period so I removed it.
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Merge pull request BVLC#1961 from sergeyk/master
fix accelerate / veclib path for OS X 10.10
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Merge pull request BVLC#1960 from gustavla/makefile_fix
Replaced illegal tab in Makefile with spaces.
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Small fix (visualization) on SLICE layer's documentation
The sample was missing some additional spaces to be correctly rendered on the HTML. The mistake was mine.
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Commits on Feb 26, 2015
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Merge pull request BVLC#1955 from philkr/reshaping_encoded
Decoding the datum before feeding it into the reshaping data layer
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Commits on Feb 27, 2015
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Merge pull request BVLC#1999 from boechat107/patch-2
Small fix (visualization) on SLICE layer's documentation
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Commits on Mar 3, 2015
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Blobs are ND arrays (for N not necessarily equals 4).
vector<int> shape_ instead of (num, channels, height, width).
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Add CHECK_EQ(4, ...)s to "vision layers" to enforce that the
num/channnels/height/width indexing is valid.
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Add option not to reshape to Blob::FromProto; use when loading Blobs
from saved NetParameter Want to keep the param Blob shape the layer has set, and not necessarily adopt the one from the saved net (e.g. want to keep new 1D bias shape, rather than take the (1 x 1 x 1 x D) shape from a legacy net).
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Commits on Mar 4, 2015
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Merge pull request BVLC#1970 from jeffdonahue/tensor-blob
Blobs are N-D arrays (for N not necessarily equals 4)
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Add error checking for image mean
When setting the mean, assert that it is either one pixel or an array with shape equal to the input data size.
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Merge pull request BVLC#2031 from NVIDIA/image_mean
Check shape of input mean
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zero-init param diffs and accumulate gradients
(With layers whose backwards accumlate gradients), this effectively decouples the computational batch from the SGD minibatch. Each iteration accumulates gradients over iter_size batches, then parameters are updated.
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Add gpu_util.cuh, with caffe_gpu_atomic_add
(double impl from NVIDIA dev docs; float impl included in CUDA as "atomicAdd")
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FlattenLayer fix -- top should always Share* from bottom (and do
everything in Reshape)
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